Literature DB >> 34088608

From genotypes to organisms: State-of-the-art and perspectives of a cornerstone in evolutionary dynamics.

Susanna Manrubia1, José A Cuesta2, Jacobo Aguirre3, Sebastian E Ahnert4, Lee Altenberg5, Alejandro V Cano6, Pablo Catalán7, Ramon Diaz-Uriarte8, Santiago F Elena9, Juan Antonio García-Martín10, Paulien Hogeweg11, Bhavin S Khatri12, Joachim Krug13, Ard A Louis14, Nora S Martin15, Joshua L Payne6, Matthew J Tarnowski16, Marcel Weiß15.   

Abstract

Understanding how genotypes map onto phenotypes, fitness, and eventually organisms is arguably the next major missing piece in a fully predictive theory of evolution. We refer to this generally as the problem of the genotype-phenotype map. Though we are still far from achieving a complete picture of these relationships, our current understanding of simpler questions, such as the structure induced in the space of genotypes by sequences mapped to molecular structures, has revealed important facts that deeply affect the dynamical description of evolutionary processes. Empirical evidence supporting the fundamental relevance of features such as phenotypic bias is mounting as well, while the synthesis of conceptual and experimental progress leads to questioning current assumptions on the nature of evolutionary dynamics-cancer progression models or synthetic biology approaches being notable examples. This work delves with a critical and constructive attitude into our current knowledge of how genotypes map onto molecular phenotypes and organismal functions, and discusses theoretical and empirical avenues to broaden and improve this comprehension. As a final goal, this community should aim at deriving an updated picture of evolutionary processes soundly relying on the structural properties of genotype spaces, as revealed by modern techniques of molecular and functional analysis.
Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Experimental evolution; Fitness landscape; Genotype network; Genotype-phenotype map; Molecular evolution; Phenotypic bias

Mesh:

Year:  2021        PMID: 34088608     DOI: 10.1016/j.plrev.2021.03.004

Source DB:  PubMed          Journal:  Phys Life Rev        ISSN: 1571-0645            Impact factor:   9.833


  6 in total

1.  The structure of genotype-phenotype maps makes fitness landscapes navigable.

Authors:  Sam F Greenbury; Ard A Louis; Sebastian E Ahnert
Journal:  Nat Ecol Evol       Date:  2022-09-29       Impact factor: 19.100

2.  Fast free-energy-based neutral set size estimates for the RNA genotype-phenotype map.

Authors:  Nora S Martin; Sebastian E Ahnert
Journal:  J R Soc Interface       Date:  2022-06-15       Impact factor: 4.293

3.  A Family of Fitness Landscapes Modeled through Gene Regulatory Networks.

Authors:  Chia-Hung Yang; Samuel V Scarpino
Journal:  Entropy (Basel)       Date:  2022-04-29       Impact factor: 2.738

4.  Phenotype Bias Determines How Natural RNA Structures Occupy the Morphospace of All Possible Shapes.

Authors:  Kamaludin Dingle; Fatme Ghaddar; Petr Šulc; Ard A Louis
Journal:  Mol Biol Evol       Date:  2022-01-07       Impact factor: 16.240

5.  Insertions and deletions in the RNA sequence-structure map.

Authors:  Nora S Martin; Sebastian E Ahnert
Journal:  J R Soc Interface       Date:  2021-10-06       Impact factor: 4.118

6.  Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution.

Authors:  Iain G Johnston; Kamaludin Dingle; Sam F Greenbury; Chico Q Camargo; Jonathan P K Doye; Sebastian E Ahnert; Ard A Louis
Journal:  Proc Natl Acad Sci U S A       Date:  2022-03-11       Impact factor: 12.779

  6 in total

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